AIMC Topic: Floods

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Quantifying urban land cover imperviousness as input for flood simulation using machine learning: South African case study.

Water science and technology : a journal of the International Association on Water Pollution Research May 16, 2025
The imperviousness of urban surfaces is an important parameter in simulating urban hydrological responses, but quantifying imperviousness can be challenging and time-consuming. In response, this study presents a new framework to efficiently estimate ...
Floods Hydrology Machine Learning Computer Simulation Models, Theoretical South Africa Cities
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Improved integrated framework for flooded crop damage and recovery assessment: A multi-source earth observation and participatory mapping in Hadejia, Nigeria.

Journal of environmental management Apr 30, 2025
Flooding has increasingly significant adverse effects on global food security, and there is a lack of a framework to effectively integrate remote sensing with survey data for accurate damage and recovery assessment. Also, optical satellite images for...
Humans Nigeria Crops, Agricultural Floods Food Security Agriculture Remote Sensing Technology
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Confidence interval forecasting model of small watershed flood based on compound recurrent neural networks and Bayesian.

PloS one Apr 21, 2025
Flood forecasting exhibits rapid fluctuations, water level forecasting shows great uncertainty and inaccuracy in small watersheds, and the reliability and accuracy performance of traditional probability forecasting is often unbalanced. This study com...
China Bayes Theorem Confidence Intervals Floods Neural Networks, Computer Forecasting Recurrent Neural Networks
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Advancing flood risk assessment: Multitemporal SAR-based flood inventory generation using transfer learning and hybrid fuzzy-AHP-machine learning for flood susceptibility mapping in the Mahananda River Basin.

Journal of environmental management Mar 22, 2025
The Mahananda River basin, located in Eastern India, faces escalating flood risks due to its complex hydrology and geomorphology, threatening socioeconomic and environmental stability. This study presents a novel approach to flood susceptibility (FS)...
Fuzzy Logic Rivers Risk Assessment India Floods Machine Learning
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Flood resilience through hybrid deep learning: Advanced forecasting for Taipei's urban drainage system.

Journal of environmental management Mar 7, 2025
The escalating impacts of climate change have intensified extreme rainfall events, placing urban drainage systems under unprecedented pressure and increasing flood risks. Addressing these challenges requires advanced flood mitigation strategies, opti...
Forecasting Deep Learning Cities Neural Networks, Computer Floods Rain Taiwan Climate Change
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Modeling the latent impacts of extreme floods on indoor mold spores in residential buildings: Application of machine learning algorithms.

Environment international Feb 4, 2025
Floods can severely impact the economy, environment and society. These impacts can be direct and indirect. Past research has focused more on the former impacts. Of the indirect impacts, those on mold growth in indoor environments that affect human re...
Housing Cyclonic Storms Air Microbiology Spores, Fungal Floods Air Pollution, Indoor Fungi Humans Algorithms Machine Learning Models, Theoretical
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Improving flood-prone areas mapping using geospatial artificial intelligence (GeoAI): A non-parametric algorithm enhanced by math-based metaheuristic algorithms.

Journal of environmental management Jan 29, 2025
Flooding presents substantial dangers to human lives and infrastructure, underscoring the need to map flood-prone areas to implement effective mitigation measures precisely. Although machine learning algorithms have made great strides, their accuracy...
Floods Artificial Intelligence Humans Algorithms
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Assessment of urban flood susceptibility based on a novel integrated machine learning method.

Environmental monitoring and assessment Dec 5, 2024
Flood susceptibility assessment is the premise and foundation to prevent flood disaster events effectively. To accurately assess urban flood susceptibility (UFS), this study first analyzes the advantages and disadvantages of multi-layer perceptron (M...
Disasters Machine Learning Floods Cities Risk Assessment Logistic Models China Environmental Monitoring
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Incorporating dynamic drainage supervision into deep learning for accurate real-time flood simulation in urban areas.

Water research Nov 19, 2024
Urban flooding has become a prevalent issue in cities worldwide. Urban flood dynamics differ significantly from those in natural watersheds, primarily because of the intricate drainage systems and the high spatial heterogeneity of urban surfaces, whi...
Floods Cities Models, Theoretical Computer Simulation Deep Learning
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Leveraging GIS-based AHP, remote sensing, and machine learning for susceptibility assessment of different flood types in peshawar, Pakistan.

Journal of environmental management Nov 2, 2024
Due to its diverse topography, Pakistan faces different types of floods each year, which cause substantial physical, environmental, and socioeconomic damage. However, the susceptibility of specific regions to different flood types remains unexplored....
Floods Machine Learning Algorithms Remote Sensing Technology Geographic Information Systems Pakistan
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